Files
2026-07-13 13:17:40 +08:00

38 lines
1.1 KiB
YAML

# @OldAPIStack
pong-deterministic-rainbow:
env: ale_py:ALE/Pong-v5
run: DQN
stop:
env_runners/episode_return_mean: 20
config:
# Make analogous to old v4 + NoFrameskip.
env_config:
frameskip: 1
full_action_space: false
repeat_action_probability: 0.0
num_atoms: 51
noisy: True
gamma: 0.99
lr: .0001
hiddens: [512]
rollout_fragment_length: 4
train_batch_size: 32
exploration_config:
epsilon_timesteps: 2
final_epsilon: 0.0
target_network_update_freq: 500
replay_buffer_config:
type: MultiAgentPrioritizedReplayBuffer
prioritized_replay_alpha: 0.5
capacity: 50000
num_steps_sampled_before_learning_starts: 10000
n_step: 3
gpu: True
model:
grayscale: True
zero_mean: False
dim: 42
# we should set compress_observations to True because few machines
# would be able to contain the replay buffers in memory otherwise
compress_observations: True